activity
20162024
most citedMatterport3D: Learning from RGB-D Data in Indoor Environments

337 citations · 734 across the 30 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV20171 cited

IMU2Face: Real-time Gesture-driven Facial Reenactment

Justus Thies, Michael Zollhöfer, Matthias Nießner

We present IMU2Face, a gesture-driven facial reenactment system. To this end, we combine recent advances in facial motion capture and inertial measurement units (IMUs) to control t…

cs.CV2017

Multiframe Scene Flow with Piecewise Rigid Motion

Vladislav Golyanik, Kihwan Kim, Robert Maier +3

We introduce a novel multiframe scene flow approach that jointly optimizes the consistency of the patch appearances and their local rigid motions from RGB-D image sequences. In con…

cs.CV2017337 cited

Matterport3D: Learning from RGB-D Data in Indoor Environments

Angel Chang, Angela Dai, Thomas Funkhouser +6

Access to large, diverse RGB-D datasets is critical for training RGB-D scene understanding algorithms. However, existing datasets still cover only a limited number of views or a re…

cs.GR2017

Calipso: Physics-based Image and Video Editing through CAD Model Proxies

Nazim Haouchine, Frederick Roy, Hadrien Courtecuisse +2

We present Calipso, an interactive method for editing images and videos in a physically-coherent manner. Our main idea is to realize physics-based manipulations by running a full p…

cs.CV2017

Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting

Robert Maier, Kihwan Kim, Daniel Cremers +2

We introduce a novel method to obtain high-quality 3D reconstructions from consumer RGB-D sensors. Our core idea is to simultaneously optimize for geometry encoded in a signed dist…